A Journey into Background Removal and Perspective Transformation with OpenCV
It was a week before one of India’s largest hackathon, and Hrishita and I were burning the midnight oil to prepare our presentation slides. As part of our pitch, we needed to showcase some images, but we quickly realized that the standard white backgrounds were ruining the visual impact. We wanted clean, professional-looking slides with transparent backgrounds, but time was running out.
We first turned to remove.bg , a popular online tool that could remove backgrounds with a simple click. Unfortunately, the site was down just when we needed it the most. With the clock ticking and the pressure mounting, Hrishita suggested, “Why don’t we create our own background remover using OpenCV?”
It was a brilliant idea. We both had experience with coding and image processing, so we decided to dive in and develop a custom solution.
The Brainstorming Session
We started discussing how we could achieve our goal. The challenge was to isolate the object in the image and remove everything else, leaving a transparent background. Hrishita pointed out that we could leverage the alpha channel to control the transparency of each pixel, and I agreed that it would be the perfect approach.
Here’s how our conversation evolved:
- Understanding Image Channels:
- We recognized that images are typically composed of three color channels: Red, Green…
